Título:	Large-scale analysis of differential gene expression in coffee genotypes resistant and susceptible to leaf miner-toward the identification of candidate genes for marker assisted-selection.
Autor:	CARDOSO, D. C. MARTINATI, J. C. GIACHETTO, P. F. VIDAL, R. O. CARAZZOLLE, M. F. PADILHA, L. GUERREIRO-FILHO, O. MALUF, M. P.
Afiliación:	DANIELLE C. CARDOSO, IAC; JULIANA C MARTINATI, IAC; POLIANA FERNANDA GIACHETTO, CNPTIA; RAMON O. VIDAL; MARCELO F. CARAZZOLLE; LILIAN PADILHA, SAPC; OLIVEIRO GUERREIRO-FILHO, IAC; MIRIAN PEREZ MALUF, SAPC.
Año:	2014
Referencia:	BMC Genomics, London, v. 15, p. 1-20, 2014.
Descripción:	A successful development of herbivorous insects into plant tissues depends on coordination of metabolic processes. Plants have evolved complex mechanisms to recognize such attacks, and to trigger a defense response. To understand the transcriptional basis of this response, we compare gene expression profiles of two coffee genotypes, susceptible and resistant to leaf miner (Leucoptera coffella). A total of 22000 EST sequences from the Coffee Genome Database were selected for a microarray analysis. Fluorescence probes were synthesized using mRNA from the infested and non-infested coffee plants. Array hybridization, scanning and data normalization were performed using Nimble Scan® e ArrayStar® platforms. Genes with foldchange values +/-2 were considered differentially expressed. A validation of 18 differentially expressed genes was performed in infected plants using qRT-PCR approach.
Thesagro:	Café Coffea Arábica
NAL Thesaurus:	Leafminers Genes Microarray technology
Palabras clave:	Microarranjo Plant defense
DOI:	10.1186/1471-2164-15-66
Tipo de Material:	Artigo de periódico
Acceso:	openAccess
Aparece en las colecciones:	Artigo em periódico indexado (CNPTIA)